• read more about the data here
• here’s a summary at the data

  	country	continent	year	lifeExp	pop	gdpPercap
  	Afghanistan: 12	Africa :624	Min. :1952	Min. :23.60	Min. :6.001e+04	Min. : 241.2
  	Albania : 12	Americas:300	1st Qu.:1966	1st Qu.:48.20	1st Qu.:2.794e+06	1st Qu.: 1202.1
  	Algeria : 12	Asia :396	Median :1980	Median :60.71	Median :7.024e+06	Median : 3531.8
  	Angola : 12	Europe :360	Mean :1980	Mean :59.47	Mean :2.960e+07	Mean : 7215.3
  	Argentina : 12	Oceania : 24	3rd Qu.:1993	3rd Qu.:70.85	3rd Qu.:1.959e+07	3rd Qu.: 9325.5
  	Australia : 12	NA	Max. :2007	Max. :82.60	Max. :1.319e+09	Max. :113523.1
  	(Other) :1632	NA	NA	NA	NA	NA

The code

gg <- ggplot(gapminder, aes(gdpPercap, lifeExp, color = continent)) +
    geom_point(aes(
        size = pop,
        frame = year,
        ids = country,
        alpha = 0.3
    )) +
    scale_x_log10(labels = scales::dollar_format())

ggplotly(gg)